<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Optimization | Ravid Shwartz Ziv</title><link>https://www.ravid-shwartz-ziv.com/tag/optimization/</link><atom:link href="https://www.ravid-shwartz-ziv.com/tag/optimization/index.xml" rel="self" type="application/rss+xml"/><description>Optimization</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 11 Dec 2023 00:00:00 +0000</lastBuildDate><image><url>https://www.ravid-shwartz-ziv.com/images/logo_hu0f76066babba471aea3aa4f20fb6fb27_115025_300x300_fit_lanczos_2.png</url><title>Optimization</title><link>https://www.ravid-shwartz-ziv.com/tag/optimization/</link></image><item><title>Back to Basics: Revisiting Standard Deep Learning Components for Class Imbalance</title><link>https://www.ravid-shwartz-ziv.com/publication/imbalance/</link><pubDate>Mon, 11 Dec 2023 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/imbalance/</guid><description>&lt;p>&lt;em>[Published in NeurIPS 2023]&lt;/em>&lt;/p></description></item></channel></rss>